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instead of having a basic example for qdrant, it would be nice to have a full RAG e2e flow using camel openai that uses qdrant as vector store |
It can be done replacing the generic Spring AI endpoint in Obviously it introduces more complexity. |
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No, actually spring ai hides the complexity of working with the vector store.. which is good and bad. For this use case, try to use camel openai ala https://camel.apache.org/components/next/openai-component.html#_postgresql_pgvector_recommended |
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| package org.apache.camel.example.springboot.qdrant; | |||
qdrant/pom.xml
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| <artifactId>camel-jackson-starter</artifactId> | ||
| </dependency> | ||
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| <!-- test --> |
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tests dependencies can be removed since there are no tests
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Test failure not related to this issue, but to this |
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